Detection of sql injection attack using machine learning techniques: a systematic literature review

M Alghawazi, D Alghazzawi, S Alarifi - Journal of Cybersecurity and …, 2022 - mdpi.com
An SQL injection attack, usually occur when the attacker (s) modify, delete, read, and copy
data from database servers and are among the most damaging of web application attacks. A …

A systematic review of detection and prevention techniques of SQL injection attacks

M Nasereddin, A ALKhamaiseh… - … Security Journal: A …, 2023 - Taylor & Francis
ABSTRACT SQL injection is a type of database-targeted attack for data-driven applications.
It is performed by inserting malicious code in the SQL query to alter and modify its meaning …

[HTML][HTML] SQL injection attack detection in network flow data

IS Crespo-Martínez, A Campazas-Vega… - Computers & …, 2023 - Elsevier
SQL injections rank in the OWASP Top 3. The literature shows that analyzing network
datagrams allows for detecting or preventing such attacks. Unfortunately, such detection …

[HTML][HTML] An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0

O Chakir, A Rehaimi, Y Sadqi, M Krichen… - Journal of King Saud …, 2023 - Elsevier
Cybersecurity attacks that target software have become profitable and popular targets for
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …

Semantic query-featured ensemble learning model for SQL-injection attack detection in IoT-ecosystems

M Gowtham, HB Pramod - IEEE Transactions on Reliability, 2021 - ieeexplore.ieee.org
Structured query language (SQL) has emerged as one of the most used databases, serving
an array of Internet-of-Things (IoTs)-enabled services including web-transactions, grid …

Deep learning for vulnerability and attack detection on web applications: A systematic literature review

RL Alaoui, EH Nfaoui - Future Internet, 2022 - mdpi.com
Web applications are the best Internet-based solution to provide online web services, but
they also bring serious security challenges. Thus, enhancing web applications security …

Privilege escalation attack detection and mitigation in cloud using machine learning

M Mehmood, R Amin, MMA Muslam, J Xie… - IEEE …, 2023 - ieeexplore.ieee.org
Because of the recent exponential rise in attack frequency and sophistication, the
proliferation of smart things has created significant cybersecurity challenges. Even though …

An investigation into the performances of the state-of-the-art machine learning approaches for various cyber-attack detection: A survey

T Ige, C Kiekintveld, A Piplai - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In this research, we analyzed the suitability of each of the current state-of-the-art machine
learning models for various cyberattack detection from the past 5 years with a major …

Review of SQL injection attacks: Detection, to enhance the security of the website from client-side attacks

MHA AL-Maliki, MN Jasim - International Journal of Nonlinear …, 2022 - ijnaa.semnan.ac.ir
The importance of cyber-security in protecting data and information is huge in this era of
technology. With the number of cyber-attacks increasing daily, the security system has been …

Input Validation Vulnerabilities in Web Applications: Systematic Review, Classification, and Analysis of the Current State-of-the-Art

FF Fadlalla, HT Elshoush - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, huge increase in attacks and data breaches is noticed. Most of the attacks
are performed and focused on the vulnerabilities related to web applications. Hence …